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- W2157564666 abstract "New and weak conditions are given under which the LMS algorithm is exponentially convergent with probability one in a stochastic setting. These results show that LMS works under very broad conditions: a small gain, input signal with finite fourth moments; time varying persistence of excitation; and weak assumptions on the correlation structure of the input signal. Previous results at this level of generality linked convergence to peak signal amplitude rather than average amplitude. Under the same conditions stochastic boundedness of a forced LMS system is also established." @default.
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- W2157564666 title "The stability of LMS" @default.
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- W2157564666 doi "https://doi.org/10.1109/78.650261" @default.
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